Evolutionary game theory studies the evolution of strategic interactions in a population of rational decision makers based on suitable incentives, which are given in the form of strategy-dependent payoffs [1]}, [2]}. The popularity of a given strategy is influenced by the system dynamics and the incentives given to an individual for choosing that strategy, thus leading to myopic behaviours where the favoured option is not the global best for the population. This is the case for the well-known prisoner's dilemma (PD), in which the dominant strategy is defection [3]}. In the setting of finite games, many evolutionary dynamics have been used, including best response dynamics, the Brown-von Neuman-Nash dynamics and replicator dynamics to mention a few. The latter is recognised to be the one most widely used [4]}. However, regardless of the mathematical model used, the common game setting involves fixed incentives associated with each strategy. This limitation does not consider the role of the environment in affecting the game dynamics and therefore the frequency of the strategies in the population.
